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统计遗传学非参数原假设检验中的群体异质性与单倍型频率误设调整AI 解读

Population heterogeneity and misspecified population haplotype frequencies are potential sources of bias in a variety of hypothesis testing problems in statistical genetics. Several strategies have been proposed for adjusting for population heterogeneity, but the theoretical basis for the strategies has been developed in relatively narrow contexts, and the methods in general do not exploit all of the available information. Here a generally applicable approach for efficient…

双重删失当前状态数据的回归AI 解读

SUMMARY Data from settings in which an initiating event and a subsequent event occur in sequence are called doubly censored current status data if the time of neither event is observed directly, but instead it is determined at a random monitoring time whether either the initiating or subsequent event has yet occurred. This paper is concerned with using doubly censored current status data to estimate the regression coefficient in an accelerated failure time model for the…

区间删失数据的回归分析AI 解读

Interval-censored data result when survival times are not known exactly, but are only known to have occurred between intermittent examination times. Here the accelerated failure time model is treated for interval-censored data. A class of score statistics that may be used for estimation and confidence procedures is proposed. An adaptive procedure based on estimating the optimal member of the class of score statistics is explored.

区间删失数据的回归分析AI 解读

Interval-censored data result when survival times are not known exactly, but are only known to have occurred between intermittent examination times. Here the accelerated failure time model is treated for interval-censored data. A class of score statistics that may be used for estimation and confidence procedures is proposed. An adaptive procedure based on estimating the optimal member of the class of score statistics is explored.